**Incorporating Occupancy into Frequent Pattern Mining for High Quality Pattern Recommendation**

Linpeng Tang, Lei Zhang, Ping Luo, Min Wang*Proceedings of ACM CIKM, 75-84, 2012***ACM CIKM Best Student Paper Award (2012)****Extreme Support Vector Machine Classifier**

Qiuge Liu, Qing He, Zhongzhi Shi*PAKDD, 222-233, 2008***Most Influential Paper Award (2018)****Collaborative Dual-PLSA: Mining Distinction and Commonality across Multiple Domains for Text Classification**

F Zhuang, P Luo, Z Shen, Q He, Y Xiong, Z Shi, Hui Xiong*CIKM 2010 Best Paper Candidate***Exploiting Associations between Word Clusters and Document Classes for Cross-domain Text Categorization**

F Zhuang, P Luo, H Xiong, Q He, Y Xiong, Z Shi**SIAM SDM 2010 Best Paper Candidate**

2021

Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qi Zhang, Qing He, Hui Xiong**Market-oriented Job Skill Valuation with Cooperative Composition Neural Network****Nature Communications 12 (1), 1-12, 2021****Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection**

Yang Liu, Xiang Ao, Zidi Qin, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He**WWW 2021****GuideBoot: Guided Bootstrap for Deep Contextual Banditsin Online Advertising**

Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He*WWW2021*Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qing He, Hui Xiong**Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning***WWW2021*

2020

Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He**A Comprehensive Survey on Transfer Learning***Proceedings of IEEE***Trust the Model When It Is Confident: Masked Model-based Actor-Critic**

F Pan, J He, D Tu, Q He*NeurIPS 2020***A Survey on Knowledge Graph-based Recommender Systems**

Q Guo, F Zhuang, C Qin, H Zhu, X Xie, H Xiong, Q He*IEEE Transactions on Knowledge and Data Engineering***Fraud Transactions Detection via Behavior Tree with Local Intention Calibration**

C Liu, Q Zhong, X Ao, L Sun, W Lin, J Feng, Q He, J Tang*SIGKDD 2020***Neural Hierarchical Factorization Machines for User's Event Sequence Analysis**

D Xi, F Zhuang, B Song, Y Zhu, S Chen, D Hong, T Chen, X Gu, Q He**SIGIR 2020****Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network***Q Zhong, Y Liu, X Ao, B Hu, J Feng, J Tang, Q He**WWW 2020***Domain Adaptation with Category Attention Network for Deep Sentiment Analysis**

D Xi, F Zhuang, G Zhou, X Cheng, F Lin, Q He**WWW 2020****Modeling Users’ Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection**

Y Zhu, D Xi, B Song, F Zhuang, S Chen, X Gu, Q He*WWW 2020*Z Zhang, F Zhuang, H Zhu, Z Shi, H Xiong, Q He**Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion***AAAI 2020***Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding**

Y Liu, X Ao, L Dong, C Zhang, J Wang, Q He*IEEE Transactions on Knowledge and Data Engineering*

2019

**Follow the Title then Read the Article: Click-guide Network for Dwell Time Prediction**

J Chen, F Zhuang, T Wang, L Lin, F Xia, L Du, Q He*IEEE Transactions on Knowledge and Data Engineering***Unsupervised Neural Aspect Extraction with Sememes**

L Luo, X Ao, Y Song, J Li, X Yang, Q He, D Yu**IJCAI 2019****The Impact of Person-organization Fit on Talent Management: A Structure-aware Convolutional Neural Network Approach**

Y Sun, F Zhuang, H Zhu, X Song, Q He, H Xiong**KDD 2019****Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings**

F Pan, S Li, X Ao, P Tang, Q He**SIGIR 2019**D Xi, F Zhuang, Y Liu, J Gu, H Xiong, Q He**Modelling of Bi-directional Spatio-temporal Dependence and Users’ Dynamic Preferences for Missing Poi Check-in Identification****AAAI 2019****Policy Optimization with Model-based Explorations**

F Pan, Q Cai, AX Zeng, CX Pan, Q Da, H He, Q He, P Tang**AAAI 2019****Policy Gradients for Contextual Recommendations**

F Pan, Q Cai, P Tang, F Zhuang, Q He**WWW 2019**

2018

**Attention-driven Factor Model for Explainable Personalized Recommendation**

J Chen, F Zhuang, X Hong, X Ao, X Xie, Q He*SIGIR 2018***Tree-structured Neural Machine for Linguistics-aware Sentence Generation**

G Zhou, P Luo, R Cao, Y Xiao, F Lin, B Chen, Q He*AAAI 2018***Elastic Responding Machine for Dialog Generation with Dynamically Mechanism Selecting**

G Zhou, P Luo, Y Xiao, F Lin, B Chen, Q He**AAAI 2018****Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention**

L Luo, X Ao, F Pan, J Wang, T Zhao, N Yu, Q He**IJCAI 2018**

2017

**Mining Precise-positioning Episode Rules from Event Sequences**

X Ao, P Luo, J Wang, F Zhuang, Q He*IEEE Transactions on Knowledge and Data Engineering***Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel**

J He, C Du, C Du, F Zhuang, Q He, G Long**IJCAI 2017****Mechanism-aware Neural Machine for Dialogue Response Generation**

G Zhou, P Luo, R Cao, F Lin, B Chen, Q He*AAAI 2017*

2016

**From Online Behaviors to Offline Retailing**

P Luo, S Yan, Z Liu, Z Shen, S Yang, Q He*KDD 2016***Online Bayesian Max-Margin Subspace Multi-View Learning**

J He, C Du, F Zhuang, X Yin, Q He, G Long*IJCAI 2016***Browsing Regularities in Hedonic Content Systems**

P Luo, G Zhou, J Tang, R Chen, Z Yu, Q He*IJCAI 2016*

2015

**Supervised Representation Learning: Transfer Learning with Deep Autoencoders**

F Zhuang, X Cheng, P Luo, SJ Pan, Q He**IJCAI 2015****Online Frequent Episode Mining**

X Ao, P Luo, C Li, F Zhuang, Q He**ICDE 2015****Bayesian Maximum Margin Principal Component Analysis**

C Du, S Zhe, F Zhuang, Y Qi, Q He, Z Shi**AAAI 2015**

Before 2014

**Discovering and Learning Sensational Episodes of News Events**

X Ao, P Luo, C Li, F Zhuang, Q He, Z Shi**WWW 2014***Concept Learning for Cross-domain Text Classification: A General Probabilistic Framework*F Zhuang, P Luo, P Yin, Q He, Z Shi**IJCAI 2013**F Zhuang, P Luo, Z Shen, Q He, Y Xiong, Z Shi, H Xiong**Mining Distinction and Commonality Across Multiple Domains Using Generative Model for Text Classification****IEEE Transactions on Knowledge and Data Engineering**Q Tan, Q He, Z Shi**Nonparametric Curve Extraction Based on Ant Colony System****AAAI 2010****Cross-domain Learning from Multiple Sources: A Consensus Regularization Perspective**

F Zhuang, P Luo, H Xiong, Y Xiong, Q He, Z Shi*IEEE Transactions on Knowledge and Data Engineering*- Distributed Classification in Peer-to-peer Networks

P Luo, H Xiong, K Lv, Z shi**KDD 2007** **On Defining Partition Entropy by Inequalities**

P Luo, G Zhan, Q He, Z Shi, K Lv*IEEE Transactions on Information Theory*

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